We describe the technical methods and experimental results on building an Augmented Reality Training system for training dismounts doing maneuver operations.
Multi-Sensor Navigation Algorithm Using Monocular Camera, IMU and GPS for Large Scale Augmented Reality
Camera tracking system for augmented reality applications that can operate both indoors and outdoors is described. The system uses a monocular camera, a MEMS-type inertial measurement unit (IMU) with 3-axis gyroscopes and accelerometers, and GPS unit to accurately and robustly track the camera motion in 6 degrees of freedom (with correct scale) in arbitrary indoor or outdoor scenes.
Magic Mirror: A Virtual Handbag Shopping System
We present an augmented reality system based on Kinect for on-line handbag shopping. The users can virtually try on different handbags on a TV screen at home.
Stereo Vision Embedded System for Augmented Reality
Stereo Vision processing is a critical component of Augmented Reality systems that rely on the precise depth map of a scene to properly place computer generated objects with real life video.
Vehicle Tracking Across Nonoverlapping Cameras Using Joint Kinematic and Appearance Features
We describe a vehicle tracking algorithm using input from a network of nonoverlapping cameras.
High-Precision Localization Using Visual Landmarks Fused with Ranged Data
In this paper, we demonstrated that with the use of precise 3D Li-dar range data, we are able to build a global consistent database of high precision 3D visual landmarks, which improves the landmark matching accuracy dramatically.
Stable Vision-Aided Navigation for Large-Area Augmented Reality
In this paper, we present a unified approach for a drift-free and jitter-reduced vision-aided navigation system.
Seamless Indoor/Outdoor 6 DOF Tracking of Trainees and Weapons
In this paper we present a system for tracking the trainee’s location, head orientation, and weapon orientation that provides high precision and does not require an instrumented site.
Multi-Modal Sensor Fusion Algorithm for Ubiquitous Infrastructure-Free Localization in Vision-Impaired Environments
In this paper, we present a unified approach for a camera tracking system based on an error-state Kalman filter algorithm.